MachineLearning Engineer, ML Engineer, Hybrid, up to 110k London (Hybrid - 5 days a month) £80,000 - £110,000 depending on experience My client, a RegTech leader, is looking for a MachineLearning Engineer to join a growing AI/ML team working on cutting-edge NLP, search, and classification problems. This is a chance to … shape and productionise ML solutions that directly impact a global user base in financial services. What You'll Do Design, build, and productionise ML/NLP models for large-scale SaaS products and APIs Write clear, modular, testable Python code and deploy via modern CI/CD pipelines Improve performance and scalability of models, data ingestion, cleaning, and pipelines Explore … new ML/NLP techniques and keep the team up to date with research trends Propose cloud architectures and ensure robust ML operations (MLOps) Collaborate through code reviews, knowledge sharing, and documentation What We're Looking For Strong experience working with textual data and NLP Proven ability to write clean, testable Python code Familiarity with SQL and NoSQL/graph More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Are you a Junior MachineLearning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯
Are you a Junior MachineLearning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
Are you a Junior MachineLearning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Intellect Group
Are you a Junior MachineLearning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯
that reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machinelearning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and … from their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machinelearning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business … are expanding our remit to consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machinelearning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machineMore ❯
Software Engineer - London Atrium EMEA is looking for several MachineLearning Software Engineers with full-stack … development experience to work on developing agents for coding and machinelearning tasks. Your goal is to create LLM agents that can automatically carry out AI and ML research tasks completely on their own. The Software Engineers should have hands on experience in both machinelearning engineering (training ML models), and who have full-stack SWE … PAYE contract role, till Dec 25 (Likely to extend). 3 days needed onsite in London office. Essential: Hands-on experience in one or more of the following areas: machinelearning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machinelearning models at scale, such as programmatically querying LLMs and LLM post More ❯
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machinelearning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost … love to hear from you! You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment Deploy and scale ML models, particularly large language models (LLMs) Build and maintain scalable pipelines and services to support real-time ML … improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machinelearning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and More ❯
progresses scientific understanding though external publications and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machinelearning researchers and practitioners applying data science and machinelearning to business problems in the real world. What you'll be doing Your role will evolve … focus on government and commercial partners. Who we are looking for A track record working with high-impact AI research, evidenced by top-tier academic publications (ideally in top machinelearning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety … with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machinelearning (e.g. explainability) Practical experience of machinelearning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python More ❯
will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machinelearning researchers and practitioners applying data science and machinelearning to business problems in the real world. What you'll be doing Your role will evolve … focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machinelearning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety … with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machinelearning (e.g. explainability) Practical experience of machinelearning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Vallum Associates
We’re Hiring: Data Scientist/MachineLearning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/MachineLearning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machinelearning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯
We’re Hiring: Data Scientist/MachineLearning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/MachineLearning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machinelearning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯
london, south east england, united kingdom Hybrid / WFH Options
Vallum Associates
We’re Hiring: Data Scientist/MachineLearning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/MachineLearning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machinelearning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Vallum Associates
We’re Hiring: Data Scientist/MachineLearning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/MachineLearning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machinelearning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯
About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machinelearning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machinelearning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machinelearning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machinelearning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machinelearning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machinelearning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machinelearning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machinelearning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯
Are you fueled by a passion for computer vision, machinelearning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovations. You will … be part of a dynamic team dedicated to pushing the boundaries of computer vision, machinelearning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists … engineers, product managers and cross-functional teams. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of More ❯
Are you passionate about delivering real value to an organisation using advanced techniques in data science and machinelearning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to … deliver impactful data products using state-of-the-art machinelearning technique Key Responsibilities Lead high-impact projects, being a technical thought leader and subject matter expert in classic MachineLearning as well as advanced and generative AI. Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify … insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior members of the department, helping them grow Experience Implementing machinelearning in production using in-house or third-party data science platforms Building machinelearning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks More ❯
If you're passionate about machinelearning and data science and ready to lead a team building groundbreaking technology with real-world impact, this role offers a rare opportunity. An innovative software platform is seeking a seasoned leader to oversee its data science function. In this pivotal role, you'll guide both strategic direction and technical execution of … through predictive insights rooted in customer behaviour. You'll lead a talented team of data scientists, shaping a collaborative, high-performing group. Your focus will be driving innovation, scaling ML systems, and aligning technical efforts with business outcomes. You'll work with senior leadership and collaborate across departments to ensure machinelearning delivers real, lasting value. This role … offers a blend of strategic influence and hands-on impact. You'll define how machinelearning evolves while ensuring solutions are robust, scalable, and commercially relevant. From improving processes to evaluating new tools, you'll have the freedom and responsibility to set the pace. The ideal candidate has at least eight years of experience in machinelearningMore ❯
teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machinelearning and AI to make machines do the heavy lifting About the role We are excited to be hiring a new Data Science Manager for our team! Ideally … of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will experiment with the latest machinelearning techniques combined with a rich data repository to build and deploy best-in-market risk models. This role will primarily focus on our UK Cards business, but … team and business Key Skills Knowledge of machinelearning techniques and their respective pros and cons. Ability to communicate complex topics clearly and concisely Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow. Curiosity, creativity, resourcefulness and a collaborative spirit Interest in problems related to the financial services domain - a knowledge of Credit More ❯
global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time MachineLearning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a MachineLearning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in MachineLearning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯
global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time MachineLearning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a MachineLearning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in MachineLearning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯
global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time MachineLearning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a MachineLearning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in MachineLearning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯
london (city of london), south east england, united kingdom
Ultralytics
global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time MachineLearning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a MachineLearning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in MachineLearning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯
by continuously training and deploying machinelearning models. We aim to make model deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under … identify and research emerging fraud typologies and cutting-edge machinelearning techniques, setting the strategic direction for our fraud detection capabilities. Drive significant improvements in our production ML infrastructure by identifying and implementing key features and architectural changes. Requirements Extensive, hands-on experience and a proven track record of designing, building, and deploying impactful ML platforms & ML models … in a production environment. Experience influencing the technical roadmap of adjacent teams, such as Data Engineering and Product, to build a more effective and cohesive ML ecosystem. Deep expertise in data science and engineering best practices (version control, CI/CD, testing, observability) and a history of applying them to build robust, scalable machinelearning systems. Exceptional analytical More ❯